Product system / 4 resources
The document structure layer between files and AI products
DocParse combines format-aware parsing, a normalized output model, job operations, and tenant controls. Start with the capability closest to the document problem you are solving.
01 / Product
DocParse gives product teams one authenticated API for turning mixed documents into clean Markdown and structured DocIR JSON. It starts with an inline request, then supports jobs, polling, lifecycle events, cancellation, webhooks, scoped keys, quotas, and artifact purge when the workflow moves into production.
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02 / Product
DocParse converts PDFs into Markdown for RAG and LLM workflows while also returning a structured representation of pages and blocks. Digital PDFs use a deterministic text-layer path when possible; scans and complex layouts can be routed to OCR or layout-aware processing under explicit workspace controls.
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03 / Product
DocIR is DocParse’s normalized JSON document representation. It keeps source metadata, pages, ordered typed blocks, optional geometry, assets, parser provenance, and warnings in one versioned record while Markdown remains available as a convenient text view.
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04 / Product
DocParse uses source type, size, embedded-text evidence, and requested fidelity to choose a deterministic, OCR, layout-aware, image-vision, Office, or external OCR path. The decision is service controlled, recorded with the job, and bounded by tenant capability and cost policy.
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From answer to evidence
Test the parser on the documents your product actually receives.
Create a free workspace, parse up to 20 text-based documents, inspect Markdown and DocIR, then use the API when the output meets your bar.